Instructions to use eliza555beth2002/DeepSeek-R1-Distill-Text2SQL-Overtrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eliza555beth2002/DeepSeek-R1-Distill-Text2SQL-Overtrained with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("eliza555beth2002/DeepSeek-R1-Distill-Text2SQL-Overtrained", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from eliza555beth2002/DeepSeek-R1-Distill-Text2SQL-Overtrained: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/eliza555beth2002/DeepSeek-R1-Distill-Text2SQL-Overtrained/resolve/ef5394d7de22a67d2ac7e0ede3ebeafeaa7a1a8d/tokenizer.json
- Command line
-
hf download hf://eliza555beth2002/DeepSeek-R1-Distill-Text2SQL-Overtrained@ef5394d7de22a67d2ac7e0ede3ebeafeaa7a1a8d/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/eliza555beth2002/DeepSeek-R1-Distill-Text2SQL-Overtrained/resolve/ef5394d7de22a67d2ac7e0ede3ebeafeaa7a1a8d/tokenizer.json
17.2 MB
- Xet hash:
- 1061508873a316d1be50a248348dec80c60a9b4878d0ceb4ed394706067dad22
- Size of remote file:
- 17.2 MB
- SHA256:
- 26c881aaf4ef935b1516ec79ad6405dd2a459f2b5d431a8a4a1399c92f3ba022
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